Wentao Wang
Wentao Wang has 2 papers in our library, in 2024–2026, most of them on Reasoning; often with Brenden M. Lake, Jackson Petty, Michael Y. Hu.
OpenAlex · ORCID · Wikidata · h-index 18 · 119 works · 1,849 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 37 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10610
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksDevelopmental and Educational Psychology · 1 workPsychology · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work
Works by year
2020s
Papers
- A systematic investigation of learnability from single child linguistic input (2024 · 5 citations)
Modern language models learn from vastly more text than a child hears, and that text is very different from speech addressed to children. - RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context (2026)
LLMs increasingly have to solve tasks by retrieving and combining many pieces of information from their context.
All works
- Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHaochen Liu et al.2020 · 86 citations
- A systematic investigation of learnability from single child linguistic inputarXiv:2402.07899Yulu Qin, Wentao Wang, Brenden M. Lake2024 · 5 citations
- RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-ContextTransactions of the Association for Computational Linguistics (TACL)Jackson Petty, Michael Y. Hu, Wentao Wang, et al.2026
Co-authors here
Venues
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2026
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Cited by
Updated
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